Real Estate

Homeday GmbH

51-200

Funded training, courses and certifications to grow your skills.

Career Training

A work phone, in some cases also for private use.

Company cellphone

A laptop and the software you need, provided by the employer.

Company laptop

Reduced prices on company products and partner offers.

Employee discounts

Adapt your start and end times around your life and workload.

Flexible working hours

Free coffee, tea, water and soft drinks at the office.

Free beverages

A free parking space at or near the workplace.

Free parking

Free fruit, snacks and small refreshments at the office.

Free snacks

Work from home for part of your working week.

Home Office

Bring your dog or pet along to the office.

Pets allowed

Work fully remotely, from home or anywhere agreed.

Remote work

A subsidised gym or sports membership of your choice.

Sport membership

Belonging

Courage

Curiosity

Diversity

Ownership

Passion

Trust

<h2>About Homeday and the Job Mission</h2>
<p>Homeday aims to improve the way people buy and sell real estate, making the entire process <strong>simple, transparent,</strong> and more <strong>efficient</strong>. Together we have already saved our customers millions in commission.<br>In order to contribute to business success with data driven decisions and analytical insights, Homeday is looking for an experienced Data / Analytics Engineer to join the Engineering team in the Data &amp; Analytics department. Team consists of Data, Tracking and Analytics Engineers and is responsible for providing the data as a single source of truth, maintenance of the technical architecture (ETL pipeline) and data governance. The candidate will work in close collaboration with Data Analysts and business stakeholders, and will also be responsible for data modelling to provide clean, accurate datasets for use across the organisation.  </p>
<ul>
<li><strong>Stakeholder -</strong> Team Lead Hub BI</li>
<li><strong>Contract -</strong> Fulltime, unlimited</li>
<li><strong>Remote Policy -</strong> Work flexibly throughout Germany. Your team decides when and how often you meet at the office</li>
<li><strong>Location</strong> - Germany</li>
</ul>
<h2>Where your expertise is needed</h2>
<ul>
<li>Communicate with business stakeholders and play a key role in data driven decision making</li>
<li>Lead end-to-end cross-functional analytics projects</li>
<li>Work closely with the Product Engineering teams to drive strategy and execute company goals</li>
<li>Develop high quality data models and visualisation solutions</li>
<li>Be responsible for the technical data infrastructure and quality assurance</li>
<li>Maintenance of complex data pipelines (ETL and data architecture)</li>
</ul>
<h2>What we are looking for</h2>
<ul>
<li>Excellent analytical and conceptual capabilities</li>
<li>Attention to detail, team player, and problem-solving abilities</li>
<li>A positive, can-do attitude for new challenges and an ability to learn fast</li>
<li>Proficient knowledge in SQL (incl. data modeling)</li>
<li>Mastery of the visualization tools (like Tableau, and Looker)</li>
<li>Familiar with building ETL processes and Data Warehouses, data architecture, and integration</li>
<li>Knowledge of the 3d party data integration and automation tools (e.g. Fivetran, Rundeck, Airflow)</li>
<li>Experience in version control such as Github, Gitlab</li>
<li>Strong verbal and written communication skills in English (German is a plus)</li>
<li>Good Python skills are a plus</li>
<li>Knowledge of statistics is a plus</li>
</ul>
<p><strong>Nice to have (but not a must):</strong>  </p>
<ul>
<li>Data Engineering skills like data ingestion, data mining, and warehousing</li>
<li>Data transformation tools (like dbt)</li>
<li>Additional languages: JavaScript, Bash, basics of HTML</li>
<li>Fundamentals with AWS cloud solutions</li>
<li>Machine Learning knowledge</li>
<li>Comprehension of web-development, server-side programming, shell scripting, databases (SQL and NoSQL)</li>
</ul>
<p><em>You do not meet all of the points listed? No problem! Whether our expectations match, we will find out within a first call!</em>   </p>
<h2>What we offer</h2>
<ul>
<li><strong>Work-Life-Balance</strong> - You can work up to 80% of your time from home</li>
<li><strong>Advancement</strong> - You have the opportunity to take responsibility from the beginning.</li>
<li><strong>Innovation</strong> - You work on products that revolutionize a conservative market.</li>
<li>PropTech Company - You work in a friendly atmosphere with the optimal mix of established company and dynamic startup.</li>
<li><strong>Team</strong> - We are an open, motivated team and know how to have a good time too.__</li>
</ul>

(Senior) Data/ Analytics Engineer (m/f/x)

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